CrowdSecLive Exploit Tracker
Limited ExploitationCVE-2020-26935Public Exploit

phpMyAdmin - SQLi (CVE-2020-26935)

PublishedOct 10, 2020
First SeenAug 18, 2026
Last Seen
Reported
CVSS9.8
phpMyAdmin
phpMyAdminphpMyAdmin
phpmanagement_panel

Description

An issue was discovered in SearchController in phpMyAdmin before 4.9.6 and 5.x before 5.0.3. A SQL injection vulnerability was discovered in how phpMyAdmin processes SQL statements in the search feature. An attacker could use this flaw to inject malicious SQL in to a query.

psychologyCrowdSec Analysis

CVE-2020-26935 is a critical SQL injection vulnerability in phpMyAdmin versions before 4.9.6 and 5.x before 5.0.3, specifically within the SearchController component. This flaw allows remote attackers to inject malicious SQL code via the search feature, potentially leading to unauthorized data access, data manipulation, or even full compromise of the underlying database.

CrowdSec has been tracking this vulnerability and its exploits since 11th of February 2026.

CrowdSec has not observed any significant exploitation activity targeting CVE-2020-26935 across its network. As a result, no community-driven trend analysis is available for this vulnerability at this time.

Attackers exploit authenticated sessions in phpMyAdmin by sending crafted POST requests to /tbl_zoom_select.php with malicious where_clause parameters to perform SQL injection and extract sensitive database information.

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EventDate
CVE Published2020-10-10
Rule Released2026-02-11
CrowdSec First Seen2026-08-18

Related Weaknesses

CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

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External References